B. Brahmi, M. Saad, Youcef Saidi, C. Ochoa-Luna, M. Rahman
{"title":"Robust Adaptive Control for Uncertain Wearable Exoskeleton Robot Using Time Delay Estimation","authors":"B. Brahmi, M. Saad, Youcef Saidi, C. Ochoa-Luna, M. Rahman","doi":"10.11159/jmids.2020.001","DOIUrl":"https://doi.org/10.11159/jmids.2020.001","url":null,"abstract":"","PeriodicalId":430248,"journal":{"name":"Journal of Machine Intelligence and Data Science","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123577543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The multifaceted technological boom as driven by mobile and IoT devices requires more bandwidth by the day. Some applications such as gaming and real-time streaming services in ultra-high definition have higher bandwidth as well low latency requirement. The only viable solution for these data hungry applications is fiber-wireless (FiWi) network architecture. Though numerous hybrid Fiber-Wireless network architectures have been expected to utilize the fiber-based Passive Optical Network (PON) access infrastructure to backhaul mobile traffic, most of these architectures, however, have utilized the typically centralized tree-based PON topology, which can only support a centralized Radio Access Network (RAN) architecture. A converged PON-5G access infrastructure must be capable of supporting a distributed architecture as well as distributed Network Control and Management (NCM) operations. The major weakness is that mainstream PONs are typically deployed as tree topologies and the tree-based topology can neither support the distributed access architecture nor intercommunication among the access nodes (ONUs) attached to the PON. In this study we devise a fully distributed Ring-Based EPON architecture that enables the support of a converged PON-5G LTE access networking transport infrastructure utilizing distributed network control management to seamlessly backhaul both mobile and wireline multimedia traffic and services. An experimental set-up is also employed to measure BER and eye diagram of the proposed architecture.
{"title":"An Experimental Set-up and Performance Evaluation of EPON-Based 5G RAN Architecture Enabled by Distributed Network Control Management","authors":"S. R. Zaidi, A. Carranza","doi":"10.11159/jmids.2021.004","DOIUrl":"https://doi.org/10.11159/jmids.2021.004","url":null,"abstract":"The multifaceted technological boom as driven by mobile and IoT devices requires more bandwidth by the day. Some applications such as gaming and real-time streaming services in ultra-high definition have higher bandwidth as well low latency requirement. The only viable solution for these data hungry applications is fiber-wireless (FiWi) network architecture. Though numerous hybrid Fiber-Wireless network architectures have been expected to utilize the fiber-based Passive Optical Network (PON) access infrastructure to backhaul mobile traffic, most of these architectures, however, have utilized the typically centralized tree-based PON topology, which can only support a centralized Radio Access Network (RAN) architecture. A converged PON-5G access infrastructure must be capable of supporting a distributed architecture as well as distributed Network Control and Management (NCM) operations. The major weakness is that mainstream PONs are typically deployed as tree topologies and the tree-based topology can neither support the distributed access architecture nor intercommunication among the access nodes (ONUs) attached to the PON. In this study we devise a fully distributed Ring-Based EPON architecture that enables the support of a converged PON-5G LTE access networking transport infrastructure utilizing distributed network control management to seamlessly backhaul both mobile and wireline multimedia traffic and services. An experimental set-up is also employed to measure BER and eye diagram of the proposed architecture.","PeriodicalId":430248,"journal":{"name":"Journal of Machine Intelligence and Data Science","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115604132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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